[引用][C] Basic survey on malware analysis, tools and techniques

D Uppal, V Mehra, V Verma - International Journal on Computational Sciences & …, 2014

Malware Analysis Through Random Forest Approach

A Kumar, K Abhishek, SK Shandilya… - Journal of Web …, 2020 - ieeexplore.ieee.org
This paper gives precise and comprehensive detail along with a proposed system for
malware detection using ML and Deep Learning techniques by integrating both behavior …

Review of hybrid analysis technique for malware detection

YKBM Yunus, SB Ngah - IOP conference series: materials …, 2020 - iopscience.iop.org
Malware is a problem spread out worldwide. Current techniques to analyze these malware
are static analysis technique and dynamic analysis technique. Later, the two analysis …

[PDF][PDF] A survey on malware classification using machine learning and deep learning

M Goyal, R Kumar - Int. J. Comput. Netw. Appl., 2021 - mail.ijcna.org
In today's era, there is fast development in the field of Information Technology. It is a matter
of great concern for cyber professionals to maintain security and privacy. Studies revealed …

Malware prediction analysis using AI techniques with the effective preprocessing and dimensionality reduction

S Harini, A Ravikumar, N Keshwani - Innovative Data Communication …, 2022 - Springer
Research shows that the hackers use the malware attacks to infect the computer. Malware
attacks are very common nowadays, and they are growing in terms of both volume and the …

[PDF][PDF] On Development of Malware Threats Detection and Prevention using artificial Immune System and Machine Learning Algorithm

U Chinyere, CM Igbe, BC Amanze, OA Agbakwuru… - iiardjournals.org
Malare threats detection and prevention using artificial immune system and machine
learning is a research work aimed at developing a system to enhance the security of the …

[HTML][HTML] Detection of malware in downloaded files using various machine learning models

A Kamboj, P Kumar, AK Bairwa, S Joshi - Egyptian Informatics Journal, 2023 - Elsevier
Malware has become an enormous risk in today's world. There are different kinds of
malware or malicious programs found on the internet. Research shows that malware has …

Effective malware detection using gradient boosting and convolutional neural network

K Thosar, P Tiwari, R Jyothula… - 2021 IEEE Bombay …, 2021 - ieeexplore.ieee.org
Effective malware detection is the need of the hour for all industries. With the rise of
intelligent polymorphic malware, it becomes a necessity to invest in developing systems to …

[PDF][PDF] Predictive Analytics for Malware Detection in FinTech using Machine Learning Classification

F Spelman - 2022 - esource.dbs.ie
Cyber-attacks are a major issue in the FinTech space, and a solution is needed that can
provide a fast and effective way of malware detection. This paper aims to use machine …

Systematic approach to malware analysis (SAMA)

J Bermejo Higuera, C Abad Aramburu… - Applied Sciences, 2020 - mdpi.com
Featured Application The systematic and methodological process of analysis described in
this document will provide a complete understanding of the life cycle of a malware specimen …